Sequence-to-sequence modeling for graph representation learning

Overview of attention for article published in Applied Network Science, August 2019

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グラフ表現学習のためのシーケンス間モデリング教師ありと教師なしの両方のレジームにおけるシーケンス間LSTMの提案。様々なレベルの粒度で、様々な種類の部分構造のシーケンスを使用してモデルをトレーニング。本手法が、グラフ分類タスクの精度を高めることを示した。https://t.co/mXC4TRyRG4

30 Aug 2019

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Sequence-to-sequence modeling for graph representation learning https://t.co/G34np0ms2s

30 Aug 2019

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RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…

29 Aug 2019

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RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…

28 Aug 2019

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